Results 41 to 50 of about 66,673 (199)
Linear least squares estimation of the first order moving average parameter [PDF]
, 2002 We propose an iterative procedure to minimize the sum of squares function which avoids the nonlinear nature of estimating the first order moving average parameter and provides a closed form of the estimator.
Valdero Mora, Emili
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Least Squares Moving-Window Spectral Analysis [PDF]
Applied Spectroscopy, 2017 Least squares regression is proposed as a moving-windows method for analysis of a series of spectra acquired as a function of external perturbation. The least squares moving-window (LSMW) method can be considered an extended form of the Savitzky–Golay differentiation for nonuniform perturbation spacing.
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SOME COMPARISON RESULTS FOR MOVING LEAST-SQUARE APPROXIMATIONS [PDF]
International Journal of Pure and Apllied Mathematics, 2016 Some properties of moving least-square approximations for two concrete weight functions are investigated. The used thecnique is based on some properties of differential equations and applications of the theory of Lyapunov functions.
Nenov S., Tsvetkov T.
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Enhancing SPH using moving least-squares and radial basis functions [PDF]
, 2005 In this paper we consider two sources of enhancement for the meshfree Lagrangian particle method smoothed particle hydrodynamics (SPH) by improving the accuracy of the particle approximation.
R.A. Brownlee (7584983) +7 more
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3D Reconstruction Based on Iterative Optimization of Moving Least-Squares Function
AlgorithmsThree-dimensional reconstruction from point clouds is an important research topic in computer vision and computer graphics. However, the discrete nature, sparsity, and noise of the original point cloud contribute to the results of 3D surface generation ...
Saiya Li +4 more
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A Modification of the Moving Least-Squares Approximation in the Element-Free Galerkin Method
Journal of Applied Mathematics, 2014 The element-free Galerkin (EFG) method is one of the widely used meshfree methods for solving partial differential equations. In the EFG method, shape functions are derived from a moving least-squares (MLS) approximation, which involves the inversion of ...
Yang Cao, Jun-Liang Dong, Lin-Quan Yao
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Advances in Mechanical Engineering, 2022 The moving least square (MLS) interpolation based the recovery procedures have been successfully applied to recover the finite element solution errors in the analysis of elastic plates and pipes problems and can be advantageously applied for large ...
Mohd. Ahmed +3 more
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Leida xuebao, 2022 Tomographic Synthetic Aperture Radar (TomoSAR) is an advanced technology for three-dimensional (3D) mountain reconstruction. However, the TomoSAR mountain point clouds have a significant location error in the elevation direction, making high-precision 3D
Xiaowan LI +7 more
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AO–MW–PLS method applied to rapid quantification of teicoplanin with near-infrared spectroscopy [PDF]
Journal of Innovative Optical Health Sciences, 2017 Teicoplanin (TCP) is an important lipoglycopeptide antibiotic produced by fermenting Actinoplanes teichomyceticus. The change in TCP concentration is important to measure in the fermentation process. In this study, a reagent-free and rapid quantification
Jiemei Chen +4 more
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Analysis of moving least squares approximation revisited [PDF]
, 2020 In this article the error estimation of the moving least squares approximation is provided for functions in fractional order Sobolev spaces. The analysis presented in this paper extends the previous estimations and explains some unnoticed mathematical ...
D Mirzaei
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